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Reference TypeThesis
Sitemtc-m12.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier6qtX3pFwXQZ3r59YD6/GLEAm
Repositorysid.inpe.br/iris@1912/2005/07.15.23.49.31
Last Update2021:01.05.19.38.07 sergio
Metadatasid.inpe.br/iris@1912/2005/07.15.23.49.37
Metadata Last Update2021:01.05.19.38.07 sergio
Secondary KeyINPE--T/
Label6292
Citation KeyYanasse:1980:StAsHy
TitleStatistical Aspects of Hydrology in the Amazon River Basin
Alternate Titlex
Year1980
Datedec. 1979
Access Date2021, Jan. 24
Thesis TypeDissertação de Mestrado
Number of Files0
Size0 KiB
Context area
AuthorYanasse, Corina Costa Freitas
GroupDSR-INPE-BR
CommitteeDunsmuir, Willian
UniversityMassachusetts Institute Of Technology
CityCambridge
Secondary TypeTAE
History2008-09-10 21:39:44 :: administrator -> jefferson ::
2009-03-04 20:23:29 :: jefferson -> administrator ::
2009-07-08 20:33:36 :: administrator -> jefferson ::
2009-07-09 15:45:37 :: jefferson -> administrator ::
2010-04-30 01:18:14 :: administrator -> jefferson ::
2010-04-30 16:10:09 :: jefferson -> administrator ::
2010-05-12 04:08:15 :: administrator -> sabrina ::
2011-06-10 17:08:23 :: sabrina -> amandinha_cta@hotmail.com ::
2011-12-07 14:52:11 :: amandinha_cta@hotmail.com -> dan_begin@hotmail.com :: 1979
2012-02-07 12:01:01 :: dan_begin@hotmail.com -> administrator :: 1979
2014-03-17 16:08:40 :: administrator :: 1979 -> 1980
2019-02-04 13:03:24 :: administrator -> simone :: 1980
2021-01-05 19:36:15 :: simone -> sergio :: 1980
Content and structure area
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Keywordsséries temporais, estatística.
AbstractThe prediction of the Negro River height at Manaus, Brasil, has very important economical interests, mainly for the people living in that region. This work is an attempt to find a model which explains the heights of the Negro river. The Negro river height data is checked for nonstationarities over the record length. The produce used to find the model involves an adjustment of the series by the seasonal means and standart deviations. Some models were proposed and comparisons for predicting river heights for one, two and three steps ahead were done. The chosen model was an autoregressive model in which the coefficients vary with each month. The seasonal autoregressive model is compared with other suggested models in the literature.
AreaSRE
source Directory Contentthere are no files
agreement Directory Content
LISTA PRODUCAOCIENTIFICA Corina da Costa Freitas.docx 05/01/2021 16:37 14.5 KiB 
TERMO DE DEPOSITO ASSINADO CORINA COSTA FREITAS PRODUCAO.pdf 05/01/2021 16:38 40.4 KiB 
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data URLhttp://urlib.net/rep/6qtX3pFwXQZ3r59YD6/GLEAm
zipped data URLhttp://urlib.net/zip/6qtX3pFwXQZ3r59YD6/GLEAm
Languageen
User Groupadministrator
jefferson
sergio
Visibilityshown
Copyright Licenseurlib.net/www/2012/11.12.15.10
Read Permissionallow from all
Update Permissionnot transferred
Allied materials area
Next Higher Units8JMKD3MGPCW/3ER446E
Host Collectionsid.inpe.br/banon/2001/04.06.10.52
Notes area
Empty Fieldsacademicdepartment affiliation archivingpolicy archivist callnumber copyholder course creatorhistory descriptionlevel dissemination doi e-mailaddress electronicmailaddress format isbn issn lineage mark mirrorrepository nextedition notes number numberofpages orcid parameterlist parentrepositories previousedition previouslowerunit progress readergroup resumeid rightsholder secondarydate secondarymark session shorttitle sponsor subject targetfile tertiarymark tertiarytype url versiontype
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